iMAGe Brown Bag Seminar - Spatial Methods That Combine Ideas From Wavelets and Lattices: LatticeKrig

05/26/2017 - 12:00pm to 1:00pm
ML - Chapman Room

Spatial Methods That Combine Ideas From Wavelets and Lattices: LatticeKrig

Doug Nychka

National Center for Atmospheric Research

Kriging is a non-parametric regression method used in geostatistics for estimating curves and surfaces and forms the core of most statistical methods for spatial data. In climate science these methods are very useful for estimating how climate varies over a geographic region when the observational data is sparse or the computer model runs are limited. A statistical challenge is to implement spatial methods for large sample sizes, a common feature of many geophysical problems.  Here a family of covariance models is proposed that expands the field in a set of basis functions and places a Gaussian Markov random field (GMRF) latent model on the basis coefficients. The idea, in contrast to fixed rank Kriging, is to use many basis functions organized on lattices. In addition, the basis functions add more smoothness and larger scale spatial dependence than a GMRF alone.

Friday, May 26th, 2017

12:00pm – 1:00pm

Mesa Lab,  Chapman Room

(Bring your lunch)